MatterAI MCP Server
OfficialProvides code review and pull request generation for GitHub repositories.
Click on "Install Server".
Wait a few minutes for the server to deploy. Once ready, it will show a "Started" state.
In the chat, type
@followed by the MCP server name and your instructions, e.g., "@MatterAI MCP Serverreview the git diff of the last commit"
That's it! The server will respond to your query, and you can continue using it as needed.
Here is a step-by-step guide with screenshots.

Matter AI MCP Server
MatterAI MCP offers code reviews right in your IDE when using AI Agents such as in Cursor, Windsurf, VS Code, Cline and more to enhances your development workflow. Built with FastMCP in Python, it provides advanced code review capabilities, implementation planning, and pull request generation to help you release code with confidence.
Features
Code review tools - Get comprehensive code reviews for individual files or full git diffs
Implementation planning - Generate detailed implementation plans for AI agents
Pull request generation - Create pull requests with auto-generated titles and descriptions
Random cat facts - Because who doesn't love cat facts?
Related MCP server: ContextForge MCP Server
Requirements
Python 3.11+
See
requirements.txtfor dependencies
Installation
pip install -r requirements.txtSetup
API Key
To use Matter AI MCP Server, you need an API key:
Obtain your API key from https://app.matterai.dev/settings
Use this key in your MCP configuration as shown below
MCP Configuration
Create an MCP configuration file with the following content:
{
"mcpServers": {
"matter-ai": {
"command": "npx",
"args": [
"-y",
"mcp-remote",
"https://mcp.matterai.so/sse",
"--header",
"X-AUTH-TOKEN:MATTER_AI_API_KEY"
]
}
}
}Replace MATTER_AI_API_KEY with your actual API key.
Usage
Run the server:
python server.pyThe server will start on http://localhost:9000 (default for FastMCP).
Connecting from Cursor or Windsurf
Use the MCP (Model Context Protocol) integration
Point to:
http://localhost:9000/sseTools will auto-discover and appear in the client
Tools
1. Code Review
codereview(generated_code: str, git_owner: str, git_repo: str, git_branch: str, git_user: str, languages: str) -> str
Provides code review for the generated code.
2. Full Code Review
codereview_full(git_diff: str, git_owner: str, git_repo: str, git_branch: str, git_user: str) -> str
Provides a comprehensive code review based on git diff output.
1. Cat Fact
cat_fact() -> str
Returns a random cat fact.
Docker Build and Use
Building the Docker Image
docker build -t matter-ai-mcp .Running the Docker Container
docker run -p 9000:9000 -e MATTER_API_ENDPOINT=https://api.matterai.soThe server will be accessible at http://localhost:9000.
License
MIT
Resources:
Website: https://matterai.so
Docs: https://docs.matterai.so
This server cannot be installed
Maintenance
Resources
Unclaimed servers have limited discoverability.
Looking for Admin?
If you are the server author, to access and configure the admin panel.
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curl -X GET 'https://glama.ai/api/mcp/v1/servers/MatterAIOrg/matter-ai-mcp'
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